Hybrid Lead Engineer – BA, Scrum, Data Intelligence

Posted 6 days ago

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About the role

  • Scrum Master + Business Analyst leading delivery excellence across AI, Data Engineering, and Data Science at Egon Zehnder. Collaborating on enterprise-wide projects to modernize data platforms and AI solutions.

Responsibilities

  • Lead Scrum ceremonies (sprint planning, reviews, retros, stand-ups) for AI, Data Engineering, and Data Science streams.
  • Maintain high delivery velocity, clear sprint goals, and predictable throughput across multiple squads.
  • Identify delivery risks early; manage dependencies, blockers, and cross-team integration issues.
  • Track team KPIs (velocity, spillover, cycle time) and drive continuous improvement.
  • Ensure alignment with the overall AI/Data roadmap and architectural guardrails.
  • Work closely with stakeholders to translate business needs into clear functional and technical requirements, especially for:
  • Azure Databricks Data Platform modernization
  • Azure AI Search & Vector Search capabilities
  • GenAI use cases (summarization, search, copilots)
  • EZ Copilot and Microsoft 365 Copilot extensions
  • Create user stories, acceptance criteria, data flow specs, and feature definitions.
  • Document end-to-end workflows, domain processes, and source–target mappings.
  • Work with engineering leaders to refine backlog items and prioritize deliverables.
  • Support UAT planning, user enablement, and version rollout coordination.
  • Partner with the Data Architect, DS Manager, and Tech Leads to ensure designs align with our future-state architecture.
  • Collaborate with security, compliance, and architecture forums to ensure alignment with firmwide guidelines.
  • Track milestones, budget consumption, and project health for Data Intelligence (DE + DS).
  • Drive communication with senior leadership and consulting teams on progress and upcoming releases.

Requirements

  • 12+ years of experience in Scrum Master, Agile Delivery, or Business Analysis roles.
  • Strong experience working with AI/ML teams, data engineering teams, or cloud platform projects.
  • Solid understanding of Azure technologies, ideally:
  • Azure Databricks & Unity Catalog
  • Azure Data Lake
  • Azure Machine Learning (optional)
  • Azure AI Search / Vector Search
  • Azure OpenAI Service
  • Ability to write high-quality user stories, EPICs, process flows, and acceptance criteria.
  • Proven record of running large programs with multiple dependencies.
  • Excellent communication, influencing, and stakeholder management skills.
  • Experience in environments with GenAI or enterprise AI solutions is a strong plus.
  • Certifications preferred: CSM, PSM, PMI-ACP, or IIBA/CBAP.

Benefits

  • 5 Days working in a Fast-paced work environment
  • Work directly with the senior management team
  • Reward and Recognition
  • Employee friendly policies
  • Personal development and training
  • Health Benefits, Accident Insurance

Job title

Lead Engineer – BA, Scrum, Data Intelligence

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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